Test
Test¶
import pandas as pd
import seaborn as sns
import plotly.express as px
from itables import init_notebook_mode
init_notebook_mode(all_interactive=True)
cities = pd.read_json('https://www.visimarsrutai.lt/services-ext/api/municipalities')
cities
| id | name |
|---|
| Loading... (need help?) |
from urllib.request import urlopen
import json
with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:
counties = json.load(response)
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv",
dtype={"fips": str})
import plotly.express as px
fig = px.choropleth_mapbox(df, geojson=counties, locations='fips', color='unemp',
color_continuous_scale="Viridis",
range_color=(0, 12),
mapbox_style="carto-positron",
zoom=3, center = {"lat": 37.0902, "lon": -95.7129},
opacity=0.5,
labels={'unemp':'unemployment rate'}
)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()
import plotly.express as px
df = px.data.election()
geojson = px.data.election_geojson()
fig = px.choropleth_mapbox(df, geojson=geojson, color="winner",
locations="district", featureidkey="properties.district",
center={"lat": 45.5517, "lon": -73.7073},
mapbox_style="carto-positron", zoom=9)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()
import pandas as pd
import plotly.express as px
#import dataset
df = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv')
#select entries with the continent as asia
df = df[df['date'] == '2021-02-04']
df = df[df.continent == 'Asia']
display(df)
with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:
counties = json.load(response)
#plot
fig = px.choropleth(df, geojson=counties, locations="iso_code",
color="new_cases",
hover_name="location",
featureidkey="properties.district",
title = "Daily new COVID cases",
color_continuous_scale=px.colors.sequential.PuRd,
)
fig["layout"].pop("updatemenus")
fig.show()
WARNING:itables.downsample:showing 49x20 of 49x67 as maxColumns=20. See https://mwouts.github.io/itables/downsampling.html
| iso_code | continent | location | date | total_cases | new_cases | new_cases_smoothed | total_deaths | new_deaths | new_deaths_smoothed | female_smokers | male_smokers | handwashing_facilities | hospital_beds_per_thousand | life_expectancy | human_development_index | excess_mortality_cumulative_absolute | excess_mortality_cumulative | excess_mortality | excess_mortality_cumulative_per_million |
|---|
| Loading... (need help?) |